We propose a nonparametric estimation theory for the occupation density, the drift vector, and the diffusion matrix of multivariate diffusion processes. The estimators are sample analogues to ...

This paper studies a problem of Bayesian parameter estimation for a sequence of scaled counting processes whose weak limit is a Brownian motion with an unknown drift. The main result of the paper is ...

Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

This post was co-authored with Professor John Vervaeke 1. Thinking, Fast and Slow is one of the great books written on cognition and decision making. In a clear and accessible fashion, it made popular ...

How are mental processes defined? Although this is obviously an important question to the field of psychology, psychologists rarely define exactly what they mean by the term. This is a problem because ...